Altered Functional and Structural Connectivity Networks in Psychogenic Non-Epileptic Seizures
Open accessAbstract
Psychogenic non-epileptic seizures (PNES) are paroxysmal behaviors that resemble epileptic seizures but lack abnormal electrical activity. Recent studies suggest aberrant functional connectivity involving specific brain regions in PNES. Little is known, however, about alterations of topological organization of whole-brain functional and structural connectivity networks in PNES. We constructed functional connectivity networks from resting-state functional MRI signal correlations and structural connectivity networks from diffusion tensor imaging tractography in 17 PNES patients and 20 healthy controls. Graph theoretical analysis was employed to compute network properties. Moreover, we investigated the relationship between functional and structural connectivity networks. We found that PNES patients exhibited altered small-worldness in both functional and structural networks and shifted towards a more regular (lattice-like) organization, which could serve as a potential imaging biomarker for PNES. In addition, many regional characteristics were altered in structural connectivity network, involving attention, sensorimotor, subcortical and default-mode networks. These regions with altered nodal characteristics likely reflect disease-specific pathophysiology in PNES. Importantly, the coupling strength of functional-structural connectivity was decreased and exhibited high sensitivity and specificity to differentiate PNES patients from healthy controls, suggesting that the decoupling strength of functional-structural connectivity might be an important characteristic reflecting the mechanisms of PNES. This is the first study to explore the altered topological organization in PNES combining functional and structural connectivity networks, providing a new way to understand the pathophysiological mechanisms of PNES.
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Ding et al combined DTI and fMRI and discovered altered connectivity in attention, sensorimotor, subcortical, and default mode networks.
“Ding et al combined DTI and functional magnetic resonance imaging (fMRI) and discovered altered connectivity in attention, sensorimotor, subcortical, and default mode networks.14”
From White Matter Changes after Neurobehavioral Therapy for Functional Seizures (2023) · cites this paper as [14]
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- Authors
- Ding, J.-R., An, D., Liao, W., Li, J., Wu, G.-R., Xu, Q., Long, Z., Gong, Q., Zhou, D., Sporns, O., & Chen, H.
- Affiliations
- University of Electronic Science and Technology of China (CN)
- West China Hospital of Sichuan University (CN)
- Hangzhou Normal University (CN)
- Indiana University Bloomington (US)
- Corresponding author
- Zhou, Dong
- Chen, Huafu
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-05-22
- Volume
- 8
- Issue
- 5
- Pages
- e63850
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3661726
- OpenAlex
- W1981081286
- Cited by
- 132
- References
- 44
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 11 · 2023: 10 · 2022: 8 · 2021: 13 · 2020: 13 · 2019: 9 · 2018: 12 · 2017: 6 · 2016: 11 · 2015: 15 · 2014: 12 · 2013: 3
- FWCI
- 7.50
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- National Natural Science Foundation of China (61035006, 61125304)
- Specialized Research Fund for the Doctoral Program of Higher Education of China (20120185110028)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Psychosomatic Disorders and Their Treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- psychogenic non-epileptic seizures, functional connectivity, structural connectivity, small-worldness, network biomarkers, default mode network, sensorimotor network, attentional networks, subcortical network
- MeSH terms
- Adult, Brain, Brain Mapping, Epilepsy, Female, Humans, Magnetic Resonance Imaging, Male, Nerve Net, Neural Pathways, Biomarkers, Young Adult
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